| Título: | New Family Of Estimators For The Loglinear Model Of Quasi-Independence Based On Power-Divergence Measures |
| Autores: | Felipe Ortega, Ángel ; Pardo Llorente, Leandro |
| Tipo de documento: | texto impreso |
| Editorial: | Taylor & Francis, 2007-05 |
| Dimensiones: | application/pdf |
| Nota general: | info:eu-repo/semantics/restrictedAccess |
| Idiomas: | |
| Palabras clave: | Estado = Publicado , Materia = Ciencias: Matemáticas: Ecuaciones diferenciales , Tipo = Artículo |
| Resumen: |
We study the minimum power-divergence estimator, introduced and studied by N. Cressie and T. R. C. Read [Multinomial goodness-of-fit tests. J. R. Stat. Soc., Ser. B 46, 440–464 (1984), in the loglinear model of quasi-independence. A simulation study illustrates that minimum chi-squared estimator and Cressie-Read estimator are good alternatives to the classical maximum-likelihood estimator for this problem. The estimator obtained for = 2 is the most robust and efficient estimator among the family of the minimum power estimators. |
| En línea: | https://eprints.ucm.es/id/eprint/15086/1/05.pdf |
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